Skills Development Documentation Drift Detector

Documentation Drift Detector

v20261108
doc-drift-detector
Detects documentation drift against code changes, scores staleness, validates API docs via AST parsing, and audits link integrity. Ideal for release preparation, CI doc gates, and ensuring documentation accuracy aligns with source code.
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Overview

Documentation Drift Detector

The agent detects documentation drift by mapping code directories to their docs, comparing git modification histories, extracting Python function signatures via AST, validating every markdown link and anchor, and scoring freshness on a weighted 0-100 scale. All four CLI tools use the Python standard library only.

Core Capabilities

  • Full drift analysis — map docs to code, compare git histories, detect renamed files, version drift, broken references, and structural gaps; classify each issue by category, severity, and fix type.
  • API doc validation — AST-based extraction of Python signatures/classes compared against markdown API docs (undocumented items, phantom docs, parameter mismatches, deprecations).
  • Staleness scoring — weighted 0-100 freshness score across five dimensions with CI threshold gates and README-focused mode.
  • Link integrity audit — validate local files, anchors, cross-document anchors, images, case-sensitivity, and duplicate anchors; optional external URL checks.
  • Drift classification — structural, factual, referential, temporal, semantic categories, each tagged [AUTO]/[SEMI]/[MANUAL] for fix routing.
  • CI/CD integration — non-zero exit codes, JSON output, GitHub Actions and pre-commit recipes for ongoing monitoring.

When to Use

  • Docs have fallen out of sync with code — run full drift analysis.
  • Preparing a release — gate on aggregate staleness score.
  • Running CI doc gates — fail PRs on high/critical drift or broken links.
  • Auditing API doc accuracy against Python source.
  • Checking README health and link integrity after refactors.

Clarify First

Before running detection, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.

  • Which check: full drift analysis, staleness score, API doc validation, or link audit (selects drift_analyzer.py vs doc_staleness_scorer.py vs api_doc_validator.py vs link_checker.py).
  • Repo & doc/source paths: the repository and which code and docs directories to compare (the input the tools scan).
  • Threshold & gate: minimum severity or staleness threshold for CI failure (sets --min-severity/--threshold and the exit-code gate).

Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.

Workflow

  1. Links first (fast, no git needed): link_checker.py <docs-dir> --broken-only. Fix broken files and anchors.
  2. API docs (Python): api_doc_validator.py <src> <docs> --recursive lists documented-but-missing and undocumented functions and classes, and signature mismatches.
  3. Drift against history: drift_analyzer.py <repo> compares doc and code change history (needs a git checkout; on very large repositories use --scope to limit it).
  4. Score freshness: doc_staleness_scorer.py <repo> --threshold 60 for a 0-100 score per document and an aggregate gate.
  5. Fix in order: broken links and wrong API signatures (readers act on them), then stale how-tos, then completeness.
  6. Verify that all four tools exit 0 at the gates you chose before merging.

Quick Start

python3 scripts/link_checker.py . --broken-only                       # this skill's own docs: clean (exit 0)
python3 scripts/api_doc_validator.py scripts references --recursive    # undocumented helpers are reported
python3 scripts/drift_analyzer.py /path/to/repo --min-severity medium --fail-on high
python3 scripts/doc_staleness_scorer.py /path/to/repo --threshold 60 --json

Tools Overview

ToolWhat it doesKey flagsExit codes
link_checker.py <path>Local files, anchors (GitHub slug rules), cross-doc anchors, images, case mismatches, duplicate anchors; ignores fenced and inline code--broken-only, --check-external, --json0 clean, 1 broken links or duplicate anchors, 2 bad path
api_doc_validator.py <src> <docs>Python AST vs docs: missing, undocumented and mismatched functions/classes/parameters--recursive, --include-private, --json0 no documented-but-missing items, 1 mismatches, 2 bad path
drift_analyzer.py <repo>Structural, factual, referential, temporal and semantic drift from git history--min-severity (what to report), --fail-on (what fails, default high), --scope, --doc-patterns, --json0, 1 issue at/above --fail-on, 2 not a directory or not a git checkout
doc_staleness_scorer.py <repo>Weighted 0-100 freshness per doc (age, code alignment, links, completeness, accuracy)--threshold, --readme-focus, --required-sections, --weight-*, --json0, 1 aggregate below threshold, 2 bad path

All tools are Python stdlib only; drift_analyzer.py and the scorer read git history through the git command.

Anti-Patterns

Mistake: Gating CI on every low-severity drift finding.
Why it happens: Strict gates look rigorous.
Instead: Fail on high (the default) and report the rest; a gate that fails on cosmetic drift gets disabled.

Mistake: Treating "recently edited" as "accurate".
Why it happens: Age is the easiest signal to compute.
Instead: Check alignment with the code that changed (drift analyzer, API validator); a doc edited yesterday can still describe last year's API.

Mistake: Writing example links in docs as real links.
Why it happens: It is the natural way to show syntax.
Instead: Put examples in inline code or fenced blocks; the checker ignores them there and reports only real links.

Reference Documentation

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/workflows-and-tool-reference.md — quick start, the 5 core workflows (full analysis, API validation, README health, link audit, CI monitoring) with output examples, GitHub Actions + pre-commit recipes, and the complete per-tool parameter/output/exit-code reference. Read when running tools or wiring CI.
  • references/scoring-categories-and-troubleshooting.md — the staleness scoring model and weights, the five drift categories, auto-fix vs manual-fix classification, detailed integration points, anti-patterns, troubleshooting table, and success criteria. Read when interpreting results or triaging drift.
  • references/documentation_standards.md — README structure, API docs, changelogs, ADRs, docs-as-code standards.
  • references/driftprevention_guide.md — coupling strategies, CI gates, review checklists, and prevention patterns.

Files

  • scripts/link_checker.py, scripts/api_doc_validator.py, scripts/drift_analyzer.py, scripts/doc_staleness_scorer.py — the tools above.
  • assets/driftreporttemplate.md — report template; assets/sampledriftdata.json — example of a combined report's shape (illustrative data, not tool input).

Scope & Limitations

Covers:

  • Detection of documentation drift against git history for any git repository
  • AST-based validation of Python API documentation (function signatures, class definitions, parameters, return types)
  • Internal link validation including local files, markdown anchors, cross-document anchors, images, and case-sensitivity checks
  • Multi-dimensional staleness scoring with configurable weights and CI/CD threshold enforcement

Does NOT cover:

  • Non-Python source code API validation -- the AST-based validator only parses Python; for TypeScript, Go, Rust, or Java APIs, use language-specific doc generators and pair with the link checker
  • External URL uptime monitoring -- --check-external performs one-shot HEAD requests but does not provide continuous monitoring; use the senior-devops skill for uptime dashboards
  • Automatic documentation rewriting -- tools classify issues as [AUTO], [SEMI], or [MANUAL] but do not generate replacement text; use the code-reviewer skill for AI-assisted doc suggestions
  • Content quality or readability assessment -- staleness scoring measures freshness and structural completeness, not prose quality; see the standards/communication library for writing guidelines

Related skills: engineering/code-reviewer (attach the drift report to PR review), engineering/senior-devops (CI gates).

Info
Category Development
Name doc-drift-detector
Version v20261108
Size 45.02KB
Updated At 2026-11-14